Semantic Textual Similarity

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

Papers

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Showing 1726–1750 of 2381 papers

Title	Date	Tasks	Status
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization	Jun 8, 2017	DecoderSemantic Similarity	CodeCode Available
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity	Jun 6, 2017	LemmatizationSemantic Similarity	—Unverified
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints	Jun 1, 2017	Dialogue State TrackingSemantic Similarity	CodeCode Available
Am\'elioration de la similarit\'e s\'emantique vectorielle par m\'ethodes non-supervis\'ees (Improved the Semantic Similarity with Weighting Vectors)	Jun 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Simbow : une mesure de similarit\'e s\'emantique entre textes (Simbow : a semantic similarity metric between texts)	Jun 1, 2017	POSSemantic Similarity	—Unverified
Cr\'eation et validation de signatures s\'emantiques : application \`a la mesure de similarit\'e s\'emantique et \`a la substitution lexicale (Creating and validating semantic signatures : application for measuring semantic similarity and lexical substitution)	Jun 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference	May 24, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Relevance-based Word Embedding	May 9, 2017	General ClassificationInformation Retrieval	—Unverified
Cross-lingual Learning of Semantic Textual Similarity with Multilingual Word Representations	May 1, 2017	Machine TranslationSemantic Textual Similarity	—Unverified
Word vectors, reuse, and replicability: Towards a community repository of large-text resources	May 1, 2017	Semantic Textual SimilarityWord Embeddings	—Unverified
Finnish resources for evaluating language model semantics	May 1, 2017	Language ModelingLanguage Modelling	CodeCode Available
Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources	May 1, 2017	Semantic Textual SimilarityWord Embeddings	CodeCode Available
Semantic Similarity from Natural Language and Ontology Analysis	Apr 18, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Representing Sentences as Low-Rank Subspaces	Apr 18, 2017	Semantic Textual SimilaritySentence	—Unverified
Cross-media Similarity Metric Learning with Unified Deep Networks	Apr 14, 2017	Metric LearningRepresentation Learning	—Unverified
Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization	Apr 10, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual Similarity	Apr 5, 2017	Semantic SimilaritySemantic Textual Similarity	CodeCode Available
Interpretation of Semantic Tweet Representations	Apr 4, 2017	Feature EngineeringProperty Prediction	CodeCode Available
Building Lexical Vector Representations from Concept Definitions	Apr 1, 2017	Dependency ParsingMachine Translation	—Unverified
Cross-Lingual Syntactically Informed Distributed Word Representations	Apr 1, 2017	Bilingual Lexicon InductionEntity Linking	—Unverified
Word Sense Filtering Improves Embedding-Based Lexical Substitution	Apr 1, 2017	ClusteringEntity Extraction using GAN	—Unverified
Distributed Document and Phrase Co-embeddings for Descriptive Clustering	Apr 1, 2017	ClusteringDescriptive	—Unverified
Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings	Apr 1, 2017	Semantic SimilaritySemantic Textual Similarity	—Unverified
Evaluation by Association: A Systematic Study of Quantitative Word Association Evaluation	Apr 1, 2017	Information RetrievalRepresentation Learning	—Unverified
Bootstrapping Unsupervised Bilingual Lexicon Induction	Apr 1, 2017	Bilingual Lexicon InductionSemantic Textual Similarity	—Unverified

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All datasets STS Benchmark MTEB MRPC SICK STS13 STS14 STS12 STS15 STS16 MRPC Dev SentEval SICK-R

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	SMARTRoBERTa	Dev Pearson Correlation	92.8	—	Unverified
2	DeBERTa (large)	Accuracy	92.5	—	Unverified
3	SMART-BERT	Dev Pearson Correlation	90	—	Unverified
4	MT-DNN-SMART	Pearson Correlation	0.93	—	Unverified
5	StructBERTRoBERTa ensemble	Pearson Correlation	0.93	—	Unverified
6	Mnet-Sim	Pearson Correlation	0.93	—	Unverified
7	XLNet (single model)	Pearson Correlation	0.93	—	Unverified
8	ALBERT	Pearson Correlation	0.93	—	Unverified
9	T5-11B	Pearson Correlation	0.93	—	Unverified
10	RoBERTa	Pearson Correlation	0.92	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AnglE-UAE	Spearman Correlation	84.54	—	Unverified
2	ST5-XXL	Spearman Correlation	82.63	—	Unverified
3	ST5-Large	Spearman Correlation	81.83	—	Unverified
4	ST5-XL	Spearman Correlation	81.66	—	Unverified
5	ST5-Base	Spearman Correlation	81.14	—	Unverified
6	MPNet-multilingual	Spearman Correlation	80.73	—	Unverified
7	SGPT-5.8B-nli	Spearman Correlation	80.53	—	Unverified
8	MPNet	Spearman Correlation	80.28	—	Unverified
9	MiniLM-L12	Spearman Correlation	79.8	—	Unverified
10	SimCSE-BERT-sup	Spearman Correlation	79.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MT-DNN-SMART	Accuracy	93.7	—	Unverified
2	ALBERT	Accuracy	93.4	—	Unverified
3	RoBERTa (ensemble)	Accuracy	92.3	—	Unverified
4	BigBird	F1	91.5	—	Unverified
5	StructBERTRoBERTa ensemble	Accuracy	91.5	—	Unverified
6	FLOATER-large	Accuracy	91.4	—	Unverified
7	SMART	Accuracy	91.3	—	Unverified
8	RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)	Accuracy	91	—	Unverified
9	RoBERTa-large 355M + Entailment as Few-shot Learner	F1	91	—	Unverified
10	SpanBERT	Accuracy	90.9	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PromCSE-RoBERTa-large (0.355B)	Spearman Correlation	0.82	—	Unverified
2	PromptEOL+CSE+LLaMA-30B	Spearman Correlation	0.82	—	Unverified
3	PromptEOL+CSE+OPT-13B	Spearman Correlation	0.82	—	Unverified
4	SimCSE-RoBERTalarge	Spearman Correlation	0.82	—	Unverified
5	PromptEOL+CSE+OPT-2.7B	Spearman Correlation	0.81	—	Unverified
6	SentenceBERT	Spearman Correlation	0.75	—	Unverified
7	SRoBERTa-NLI-base	Spearman Correlation	0.74	—	Unverified
8	SRoBERTa-NLI-large	Spearman Correlation	0.74	—	Unverified
9	Dino (STS/̄🦕)	Spearman Correlation	0.74	—	Unverified
10	SBERT-NLI-large	Spearman Correlation	0.74	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AnglE-LLaMA-7B	Spearman Correlation	0.91	—	Unverified
2	AnglE-LLaMA-7B-v2	Spearman Correlation	0.91	—	Unverified
3	PromptEOL+CSE+LLaMA-30B	Spearman Correlation	0.9	—	Unverified
4	PromptEOL+CSE+OPT-13B	Spearman Correlation	0.9	—	Unverified
5	PromptEOL+CSE+OPT-2.7B	Spearman Correlation	0.9	—	Unverified
6	PromCSE-RoBERTa-large (0.355B)	Spearman Correlation	0.89	—	Unverified
7	Trans-Encoder-BERT-large-bi (unsup.)	Spearman Correlation	0.89	—	Unverified
8	Trans-Encoder-BERT-large-cross (unsup.)	Spearman Correlation	0.88	—	Unverified
9	Trans-Encoder-RoBERTa-large-cross (unsup.)	Spearman Correlation	0.88	—	Unverified
10	SimCSE-RoBERTa-large	Spearman Correlation	0.87	—	Unverified